Boolean Spin: Quantum Simulation and Experimental Data for Topological Binary Systems

10.4 KB of Python code and raw data supporting a physics paper submitted to the Journal of Physics A: Mathematical and Theoretical. The repository includes IBM quantum simulation code, quantum Hall effect data processing scripts, and Hopfield network verification code. It was authored by GenMin Li and last updated on April 12, 2026.

Use Cases

• Reproducing quantum simulation results based on the provided IBM quantum Boolean spin code.
• Analyzing quantum Hall effect data based on the included standard experimental dataset.
• Benchmarking Boolean spin Hopfield network performance based on the verification code and results.
• Validating theoretical models of binary systems based on the unified topological framework.

Strengths

• All results are stated to be fully reproducible and consistent with the associated peer-reviewed paper.
• Includes multiple data types and code formats (PY, CSV, JSON, TXT, MD) for different experimental components.
• Released under a permissive CC-BY-4.0 license, allowing for reuse and modification.

Limitations

• The dataset is very small at 10.4 KB, indicating limited scope and likely a proof-of-concept scale.
• Row count and column-level documentation are absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

GenMin Li, associated with a paper submitted to the Journal of Physics A: Mathematical and Theoretical.

Collection Method

Likely contains generated simulation data from IBM quantum systems and processed standard experimental data.

Freshness

Last updated 2026-04-12 11:56:34; freshness should be verified.